How convincing is your Sharpe ratio?
Change the sample length, skewness and kurtosis to see how they affect the Probabilistic Sharpe Ratio. No sign-up required.
Open the free PSR calculator →Understand the method. Run the numbers.
Explore quantitative finance with a free calculator, worked examples and Python code you can run yourself. Start with a question, check the assumptions, and inspect the result.
Follow a result from input to output.
Read the VPIN and HRP examples, see their synthetic-data results, and check exactly what each experiment can establish.
Read the worked examples →Take the research to GitHub.
Two Python implementations include fixed-seed examples and 28 tests. Run them without a paid market-data feed.
Get the code on GitHub →About QuantMedia
QuantMedia verifies quantitative finance code. Each method published here — VPIN, Hierarchical Risk Parity and the Probabilistic Sharpe Ratio — ships as runnable Python with a synthetic input whose correct answer is known in advance, tests that guard the fixes, and a dated verification report of what the code got wrong before it was corrected. Everything is free to read and free to run.
What We Research
Research notes cover VPIN order-flow toxicity, Hierarchical Risk Parity portfolio construction, the Probabilistic Sharpe Ratio for backtest validation, bid-ask spread dynamics, and slippage and latency modelling. Seven short explainers and a free PSR calculator accompany them. Research, examples and tools are freely accessible for educational use. Advertising is the intended funding model; see our editorial policy.
Platform Tools
The Quantum Signals dashboard scores a fixed 180-name universe of liquid US equities against 30 technical signals after each market close, flagging the stocks where at least 22 of the 30 are simultaneously bullish. A name is skipped on any day its data window is incomplete, so the scored count can sit just below 180. Two indices derived from the same scan, Signal Breadth and Sector Confluence, are published with an explicit freshness state.
All content is for educational and informational purposes only. Not financial advice.
Market News
Latest Coverage
Headlines publish after each US close
This panel carries a once-daily digest of US market headlines captured after the 16:00 ET close, de-duplicated and classified into six categories. Every headline links to the originating publisher — QuantMedia does not report the news and does not reproduce it.
In the meantime: daily US stock signals · quantitative research library
Latest session snapshot
On the 2026-09-04 session, 63 of 179 scored US equities met the 22-of-30 confluence threshold; the median stock scored 19. See the signals · Signal Breadth Index
Market snapshot captured Sep 05 2026, 01:10 UTC.
Verified here
QuantMedia verifies quantitative finance code. Each method here has a runnable implementation, a synthetic input whose correct answer is known in advance, a dated report of what the code got right and wrong, and tests that guard the fixes. Two daily metrics are computed from the same pipeline discipline and published with their freshness state.
Signal Breadth Index →
How much of a 180-stock US universe clears a 22-of-30 technical threshold, recomputed after every close. Formula, history and JSON published.
Sector Confluence →
The same scan grouped by sector and ranked by mean score, so you can see where technical agreement is concentrated rather than only how much exists.
Verification reports →
VPIN, HRP and PSR run against known ground truth. Three defects found by testing, all documented and fixed; one command reproduces every published number.
PSR calculator →
Test whether a Sharpe ratio survives its own track-record length, skew and kurtosis. Every intermediate value is shown so you can check it.
Short explainers with worked examples: VPIN · HRP vs mean-variance · Probabilistic Sharpe Ratio · Deflated Sharpe Ratio · slippage modelling
Research & Analysis
Quant Research Lab
Full library →
Microstructure
VPIN and Order Flow Toxicity: A Practical Microstructure Signal
Volume-synchronized probability of informed trading identifies when order flow becomes dangerous for liquidity providers.
Portfolio Theory
Hierarchical Risk Parity (HRP) for Portfolio Optimization
Cluster-based allocation that avoids covariance inversion for more stable out-of-sample diversification.
Quantitative
Probabilistic Sharpe Ratio & Backtest Overfitting
A statistically rigorous alternative to raw Sharpe adjusting for non-normality, sample length, and multiple testing bias.
Execution
Slippage & Latency Modeling in Backtesting
Why PnL arises from signal after implementation. Fill models, latency decomposition, and market impact as strategy-defining parameters.
Deep Analysis
11 Papers + Special Report
Full library →
01
VPIN and Order Flow Toxicity
Volume-synchronized probability of informed trading as a microstructure regime signal for liquidity providers.
03
Hierarchical Risk Parity (HRP)
Cluster-based portfolio allocation avoiding covariance matrix inversion for stable out-of-sample diversification.
04
Probabilistic Sharpe Ratio & Backtest Overfitting
Rigorous Sharpe inference under non-normality, fat tails, and multiple testing selection bias.
05
Bid-Ask Spread Dynamics
Quoted, effective, and realized spreads as microstructure state variables for execution models.
09
Slippage & Latency Modeling in Backtesting
Fill models, latency decomposition, and square-root market impact as strategy-defining parameters.